Partial removal of correlated noise in thermal imagery

Christoph C. Borel; Bradly J. Cooke; Bryan E. Laubscher

doi:10.1117/12.241173

31 May 1996 Partial removal of correlated noise in thermal imagery

Christoph C. Borel, Bradly J. Cooke, Bryan E. Laubscher

Proceedings Volume 2759, Signal and Data Processing of Small Targets 1996; (1996) https://doi.org/10.1117/12.241173
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Correlated noise occurs in many imaging systems such as scanners and push-broom imagers. The sources of correlated noise can be from the detectors, pre-amplifiers and sampling circuits. Correlated noise appears as streaking along the scan direction of a scanner or in the along track direction of a push-broom imager. We have developed algorithms to simulate correlated noise and pre-filter to reduce the amount of streaking while not destroying the scene content. The pre-filter in the Fourier domain consists of the product of two filters. One filter models the correlated noise spectrum, the other is a windowing function, e.g. Gaussian or Hanning window with variable width to block high frequency noise away from the origin of the Fourier Transform of the image data. We have optimized the filter parameters for various scenes and find improvements of the RMS error of the original minus the pre-filtered noisy image.

Citation Download Citation

Christoph C. Borel, Bradly J. Cooke, and Bryan E. Laubscher "Partial removal of correlated noise in thermal imagery", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241173

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